{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:28:29Z","timestamp":1740122909178,"version":"3.37.3"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"22","license":[{"start":{"date-parts":[[2018,7,9]],"date-time":"2018-07-09T00:00:00Z","timestamp":1531094400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61402235","61402234"],"award-info":[{"award-number":["61402235","61402234"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"PAPD","award":["PAPD"],"award-info":[{"award-number":["PAPD"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1007\/s11042-018-6360-3","type":"journal-article","created":{"date-parts":[[2018,7,8]],"date-time":"2018-07-08T23:32:01Z","timestamp":1531092721000},"page":"30121-30134","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Selection of regularization parameter in GMM based image denoising method"],"prefix":"10.1007","volume":"77","author":[{"given":"Yuhui","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianwei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6516-6787","authenticated-orcid":false,"given":"Jin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,9]]},"reference":[{"issue":"6","key":"6360_CR1","doi-asserted-by":"publisher","first-page":"1192","DOI":"10.1109\/TIP.2009.2017171","volume":"18","author":"A Buades","year":"2009","unstructured":"Buades A, Coll B, Morel J, Sbert C (2009) Self-similarity driven color demosaicking. IEEE Trans Image Process 18(6):1192\u20131202","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"6360_CR2","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/s11075-013-9775-y","volume":"67","author":"K Chen","year":"2014","unstructured":"Chen K, Piccolomini E-L, Zama F (2014) An automatic regularization parameter selection algorithm in the total variation model for image deblurring. Numer Algorithms 67(1):73\u201392","journal-title":"Numer Algorithms"},{"issue":"1","key":"6360_CR3","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1007\/s10851-010-0248-9","volume":"40","author":"Y Dong","year":"2011","unstructured":"Dong Y, Hinterm\u00fcller M, Camacho M-R (2011) Automated regularization parameter selection in a multi-scale total variation model for image restoration. J Math Imaging Vision 40(1):82\u2013104","journal-title":"J Math Imaging Vision"},{"issue":"12","key":"6360_CR4","doi-asserted-by":"publisher","first-page":"3736","DOI":"10.1109\/TIP.2006.881969","volume":"15","author":"M Elad","year":"2006","unstructured":"Elad M, Aharon M (2006) Image denoising via sparse and redundant representations over learned dictionaries. IEEE Trans Image Process 15(12):3736\u20133745","journal-title":"IEEE Trans Image Process"},{"issue":"8","key":"6360_CR5","doi-asserted-by":"publisher","first-page":"2281","DOI":"10.1109\/TIP.2006.875247","volume":"15","author":"G Gilboa","year":"2006","unstructured":"Gilboa G, Sochen N, Zeevi YY (2006) Variational denoising of partly textured images by spatially varying constraint. IEEE Trans Image Process 15(8):2281\u20132289","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"6360_CR6","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1109\/TCSVT.2013.2276857","volume":"24","author":"D-S Gonzalez","year":"2014","unstructured":"Gonzalez D-S, Moreno A-J, Enriquez E-M, Maria F (2014) Improved method to select the Lagrange multiplier for rate-distortion based motion estimation in video coding. IEEE Trans Circuits Syst Video Technol 24(3):452\u2013464","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"4","key":"6360_CR7","doi-asserted-by":"publisher","first-page":"1639","DOI":"10.1109\/TIP.2017.2781424","volume":"27","author":"J Han","year":"2018","unstructured":"Han J, Quan R, Zhang D (2018) Robust object co-segmentation using background prior. IEEE Trans Image Process 27(4):1639\u20131651","journal-title":"IEEE Trans Image Process"},{"issue":"1-2","key":"6360_CR8","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s10107-014-0777-x","volume":"152","author":"A Izmailov","year":"2015","unstructured":"Izmailov A, Uskov F (2015) Attraction of newton method to critical Lagrange multipliers: fully quadratic case. Math Program 152(1-2):33\u201373","journal-title":"Math Program"},{"key":"6360_CR9","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1186\/s13673-017-0122-5","volume":"7","author":"S Jeong","year":"2017","unstructured":"Jeong S, Lee Y, Lee S (2017) Development of an automatic sorting system for fresh ginsengs by image processing techniques. Hum-cent comput info 7:41. \n                    https:\/\/doi.org\/10.1186\/s13673-017-0122-5","journal-title":"Hum-cent comput info"},{"key":"6360_CR10","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1186\/s13673-017-0114-5","volume":"7","author":"K Koo","year":"2017","unstructured":"Koo K, Cha E (2017) Image recognition performance enhancements using image normalization. Hum-cent comput info 7:33. \n                    https:\/\/doi.org\/10.1186\/s13673-017-0114-5","journal-title":"Hum-cent comput info"},{"issue":"2","key":"6360_CR11","first-page":"256","volume":"13","author":"I Lee","year":"2017","unstructured":"Lee I, Moon B (2017) An improved stereo matching algorithm with robustness to noise based on adaptive support weight. J Inf Process Syst 13(2):256\u2013267","journal-title":"J Inf Process Syst"},{"issue":"2","key":"6360_CR12","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/s10915-009-9320-2","volume":"42","author":"Y Lou","year":"2010","unstructured":"Lou Y, Zhang X, Osher S, Bertozzi A (2010) Image recovery via nonlocal operators. J Sci Comput 42(2):185\u2013197","journal-title":"J Sci Comput"},{"issue":"12","key":"6360_CR13","doi-asserted-by":"publisher","first-page":"5469","DOI":"10.1109\/TIP.2015.2473098","volume":"24","author":"X Lu","year":"2015","unstructured":"Lu X, Lin Z, Jin H (2015) Image-specific prior adaption for denoising. IEEE Trans Image Process 24(12):5469\u20135478","journal-title":"IEEE Trans Image Process"},{"issue":"11","key":"6360_CR14","doi-asserted-by":"publisher","first-page":"3624","DOI":"10.1109\/TIP.2015.2447836","volume":"24","author":"M Niknejad","year":"2015","unstructured":"Niknejad M, Rabbani H, Massound B-Z (2015) Image restoration using Gaussian mixture models with spatially constrained patch clustering. IEEE Trans Image Process 24(11):3624\u20133636","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"6360_CR15","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1109\/TBC.2016.2580920","volume":"62","author":"Z Pan","year":"2016","unstructured":"Pan Z, Lei J, Zhang Y, Sun X, Kwong S (2016) Fast motion estimation based on content property for low-complexity H.265\/HEVC encoder. IEEE Trans Broadcast 62(3):675\u2013684","journal-title":"IEEE Trans Broadcast"},{"issue":"1","key":"6360_CR16","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1109\/TIP.2015.2499698","volume":"25","author":"V Papyan","year":"2016","unstructured":"Papyan V, Elad M (2016) Multi-scale patch-based image restoration. IEEE Trans Image Process 25(1):249\u2013261","journal-title":"IEEE Trans Image Process"},{"issue":"6","key":"6360_CR17","first-page":"1431","volume":"13","author":"J Park","year":"2017","unstructured":"Park J (2017) Efficient approaches to computer vision and pattern recognition. J Inf Process Syst 13(6):1431\u20131435","journal-title":"J Inf Process Syst"},{"issue":"4","key":"6360_CR18","doi-asserted-by":"publisher","first-page":"1456","DOI":"10.1109\/TIP.2012.2231690","volume":"22","author":"J Ren","year":"2013","unstructured":"Ren J, Liu J, Guo Z (2013) Context-aware sparse decomposition for image denoising and super-resolution. IEEE Trans Image Process 22(4):1456\u20131469","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"6360_CR19","doi-asserted-by":"publisher","first-page":"914","DOI":"10.1016\/j.cam.2009.05.016","volume":"231","author":"M Rezghi","year":"2009","unstructured":"Rezghi M, Hosseini S-M (2009) A new variant of L-curve for Tikhonov regularization. J Comput Appl Math 231(2):914\u2013924","journal-title":"J Comput Appl Math"},{"issue":"1-4","key":"6360_CR20","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"L Rudin","year":"1992","unstructured":"Rudin L, Osher S, Fatemi E (1992) Nonlinear total variation based noise removal algorithms. Physica D 60(1-4):259\u2013268","journal-title":"Physica D"},{"issue":"11","key":"6360_CR21","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1049\/el.2016.3515","volume":"53","author":"Z Su","year":"2017","unstructured":"Su Z, Yang L, Zhu S, Si N, Lv X (2017) Gaussian mixture image restoration based on maximum correntropy criterion. Electron Lett 53(11):715\u2013716","journal-title":"Electron Lett"},{"issue":"4","key":"6360_CR22","doi-asserted-by":"publisher","first-page":"1770","DOI":"10.1109\/TIP.2011.2181401","volume":"21","author":"Y Wen","year":"2012","unstructured":"Wen Y, Chan R (2012) Parameter selection for total-variation-based image restoration using discrepancy principle. IEEE Trans Image Process 21(4):1770\u20131781","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"6360_CR23","doi-asserted-by":"publisher","first-page":"2409","DOI":"10.1109\/TVT.2017.2771805","volume":"67","author":"F Xiao","year":"2018","unstructured":"Xiao F, Liu W, Li Z, Chen L (2018) Noise-tolerant wireless sensor networks localization via multi-norms regularized matrix completion. IEEE Trans Veh Technol 67(3):2409\u20132419","journal-title":"IEEE Trans Veh Technol"},{"issue":"12","key":"6360_CR24","doi-asserted-by":"publisher","first-page":"4689","DOI":"10.1109\/TIP.2013.2277813","volume":"22","author":"R Yan","year":"2013","unstructured":"Yan R, Ling S, Liu Y (2013) Nonlocal hierarchical dictionary learning using wavelets for image denoising. IEEE Trans Image Process 22(12):4689\u20134698","journal-title":"IEEE Trans Image Process"},{"issue":"8","key":"6360_CR25","doi-asserted-by":"publisher","first-page":"3192","DOI":"10.1109\/TIP.2012.2216278","volume":"22","author":"Z Yang","year":"2013","unstructured":"Yang Z, Jacob M (2013) Nonlocal regularization of inverse problems: a unified variational framework. IEEE Trans Image Process 22(8):3192\u20133203","journal-title":"IEEE Trans Image Process"},{"issue":"7","key":"6360_CR26","doi-asserted-by":"publisher","first-page":"3196","DOI":"10.1109\/TIP.2017.2694222","volume":"26","author":"X Yao","year":"2017","unstructured":"Yao X, Han J, Zhang D, Nie F (2017) Revisiting co-saliency detection: a novel approach based on two-stage multi-view spectral rotation co-clustering. IEEE Trans Image Process 26(7):3196\u20133209","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"6360_CR27","doi-asserted-by":"publisher","first-page":"3157","DOI":"10.1109\/TIP.2010.2055571","volume":"19","author":"Q Yuan","year":"2010","unstructured":"Yuan Q, Zhang L, Shen H, Li P (2010) Adaptive multiple-frame image super-resolution based on U-curve. IEEE Trans Image Process 19(12):3157\u20133170","journal-title":"IEEE Trans Image Process"},{"key":"6360_CR28","first-page":"1","volume":"1","author":"Y-H Zeng","year":"2016","unstructured":"Zeng Y-H, Peng Z, Yang Y-F (2016) A hybrid splitting method for smoothing Tikhonov regularization problem. J Inequal Appl 1:1\u201313","journal-title":"J Inequal Appl"},{"issue":"8","key":"6360_CR29","doi-asserted-by":"publisher","first-page":"3336","DOI":"10.1109\/TIP.2014.2323127","volume":"23","author":"J Zhang","year":"2014","unstructured":"Zhang J, Zhao D, Gao W (2014) Group-based sparse representation for image restoration. IEEE Trans Image Process 23(8):3336\u20133351","journal-title":"IEEE Trans Image Process"},{"issue":"6","key":"6360_CR30","first-page":"1117","volume":"17","author":"J Zhang","year":"2016","unstructured":"Zhang J, Yu Q, Zheng Y, Zhang H, Wu J (2016) Regularization parameter selection for TV image denoising using spatially adaptive local spectral response. J Internet technol 17(6):1117\u20131124","journal-title":"J Internet technol"},{"issue":"9","key":"6360_CR31","doi-asserted-by":"publisher","first-page":"11471","DOI":"10.1007\/s11042-016-4214-4","volume":"76","author":"J Zhang","year":"2017","unstructured":"Zhang J, Liu J, Li T, Zheng Y, Wang J (2017) Gaussian mixture model learning based image denoising method with adaptive regularization parameters. Multimed Tools Appl 76(9):11471\u201311483","journal-title":"Multimed Tools Appl"},{"issue":"2","key":"6360_CR32","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1049\/el.2014.3494","volume":"51","author":"Y Zheng","year":"2015","unstructured":"Zheng Y, Jeon B, Zhang J, Chen Y (2015) Adaptively determining regularization parameters in non-local total variation regularization for image denoising. Electron Lett 51(2):144\u2013145","journal-title":"Electron Lett"},{"issue":"7","key":"6360_CR33","first-page":"1553","volume":"18","author":"Y Zheng","year":"2017","unstructured":"Zheng Y, Zhou X, Jeon B, Shen J, Zhang H (2017) Multi-scale patch prior learning for image denoising using Student\u2019s-t mixture model. J Internet technol 18(7):1553\u20131560","journal-title":"J Internet technol"},{"key":"6360_CR34","doi-asserted-by":"publisher","unstructured":"Zheng Y, Jeon B, Sun L, Zhang J, Zhang H (2017) Student's t-hidden Markov model for unsupervised learning using localized feature selection. IEEE Trans Circuits Syst Video Technol. \n                    https:\/\/doi.org\/10.1109\/TCSVT.2017.2724940","DOI":"10.1109\/TCSVT.2017.2724940"},{"issue":"5","key":"6360_CR35","first-page":"1168","volume":"13","author":"Y Zheng","year":"2017","unstructured":"Zheng Y, Ma K, Yu Q, Zhang J, Wang J (2017) Regularization parameter selection for total variation model based on local spectral response. J Inf Process Syst 13(5):1168\u20131182","journal-title":"J Inf Process Syst"},{"key":"6360_CR36","doi-asserted-by":"crossref","unstructured":"Zoran D, Weiss Y (2011) From learning models of natural image patches to whole image restoration. International Conference on Computer Vision, p 479\u2013486","DOI":"10.1109\/ICCV.2011.6126278"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-6360-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6360-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6360-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,23]],"date-time":"2019-09-23T15:39:49Z","timestamp":1569253189000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-6360-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,9]]},"references-count":36,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2018,11]]}},"alternative-id":["6360"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-6360-3","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2018,7,9]]},"assertion":[{"value":"6 June 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 May 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 July 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 July 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}